Researchembeddingsgenomicstransformersprivacy preserving
DNA Models Enable Sequence Reconstruction Via Embeddings
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8.1
A March 6, 2026 arXiv preprint by Sofiane Ouaari et al. evaluates reconstruction risks from embeddings produced by DNA foundation models. Testing DNABERT-2, Evo 2, and Nucleotide Transformer v2, authors find per-token embeddings enable near-perfect sequence reconstruction, while mean-pooled embeddings degrade with length yet remain above random baselines. Results highlight urgent privacy risks for Embeddings-as-a-Service in genomics.
Scoring Rationale
Strong methodological novelty and practical attack demonstrations with released code; limited by preprint status and pending peer review.
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